Identification of differential expression lncRNAs in gastric cancer using transcriptome sequencing and bioinformatics analyses

Mol Med Rep. 2018 Jun;17(6):8189-8195. doi: 10.3892/mmr.2018.8889. Epub 2018 Apr 16.

Abstract

The current study aimed to identify novel long non‑coding RNAs (lncRNAs) associated with gastric cancer (GC). Transcriptome sequencing of the lncRNAs and mRNAs from GC tissues and normal adjacent tissues was performed. The data were analyzed using bioinformatics analysis, specifically analysis of differentially expressed lncRNAs and mRNA, target gene prediction and functional enrichment analysis. A total of 1,181 differentially expressed mRNA and 390 differentially expressed lncRNAs were identified. The targets of upregulated lncRNAs were significantly enriched in functions associated with collagen fibril organization, whereas the downregulated lncRNA were significantly associated with ion transmembrane transport and regulation of membrane potential. A total of 7 lncRNAs were verified by reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR). Following RT‑qPCR validation, AC016735.2, AP001626.1, RP11‑400N13.3 and RP11‑243M5.2 were considered to be consistent with the prediction of the bioinformatics analysis. Transcriptome sequencing and RT‑qPCR experiments identified 4 lncRNAs, including AC016735.2, AP001626.1, RP11‑400N13.3 and RP11‑243M5.2 to have an important role in the carcinogenesis of GC.

MeSH terms

  • Aged
  • Computational Biology* / methods
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic*
  • Gene Regulatory Networks
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Male
  • RNA, Long Noncoding / genetics*
  • Reproducibility of Results
  • Stomach Neoplasms / genetics*
  • Transcriptome*

Substances

  • RNA, Long Noncoding